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05/22/2023
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
NeSy4VRD is a multifaceted resource designed to support the development ...
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04/07/2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks
Previous work has established that RNNs with an unbounded activation fun...
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01/25/2023
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering
Providing explanations for visual question answering (VQA) has gained mu...
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11/29/2022
Exploring the Long-Term Generalization of Counting Behavior in RNNs
In this study, we investigate the generalization of LSTM, ReLU and GRU m...
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05/11/2022
The Beyond the Fence Musical and Computer Says Show Documentary
During 2015 and early 2016, the cultural application of Computational Cr...
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04/05/2022
Learning Speech Emotion Representations in the Quaternion Domain
The modeling of human emotion expression in speech signals is an importa...
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04/01/2022
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models
Recent advances in fake news detection have exploited the success of lar...
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03/23/2021
Learned complex masks for multi-instrument source separation
Music source separation in the time-frequency domain is commonly achieve...
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03/10/2021
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling
Deep neural networks have become the dominant approach in natural langua...
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06/11/2020
Blissful Ignorance: Anti-Transfer Learning for Task Invariance
We introduce the novel concept of anti-transfer learning for neural netw...
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03/06/2020
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals
Robustness against temporal variations is important for emotion recognit...
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11/11/2019
Making Good on LSTMs Unfulfilled Promise
LSTMs promise much to financial time-series analysis, temporal and cross...
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10/22/2019
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy
In recent years, deep learning has surpassed traditional approaches to t...
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06/19/2019
An Ontology-based Approach to Explaining Artificial Neural Networks
Explainability in Artificial Intelligence has been revived as a topic of...
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06/13/2019
Factors for the Generalisation of Identity Relations by Neural Networks
Many researchers implicitly assume that neural networks learn relations ...
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12/06/2018
Modelling Identity Rules with Neural Networks
In this paper, we show that standard feed-forward and recurrent neural n...
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12/06/2018
Continuous Learning Augmented Investment Decisions
Investment decisions can benefit from incorporating an accumulated knowl...
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12/06/2018
Continual Learning Augmented Investment Decisions
Investment decisions can benefit from incorporating an accumulated knowl...
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12/04/2018
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations
Basic binary relations such as equality and inequality are fundamental t...
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11/27/2018
Improved Speech Enhancement with the Wave-U-Net
We study the use of the Wave-U-Net architecture for speech enhancement, ...
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11/19/2018
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments
In this paper, we present a novel neural network architecture for retina...
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10/06/2017